Wilk, Deza, Hodge, Danagoulian (2025) Couch-Locked with the Munchies: Effects of Recreational Marijuana Laws on Exercise and Nutrition

The data makes use of multiple sources of data.  We provide below a list of data sources, associated code files, and any additional information on sources of control variables.

1.  NielsenIQ Consumer Panel data 2011-2020 combined with the following code files:
	. master(1).do
	. clean_prep.do
	. analysis.do
	Data available from Kilts Center for Marketing at University of Chicago Booth School of Business.  See access at https://www.chicagobooth.edu/research/kilts/research-data/nielseniq
	
2. Advan Weekly Patterns mobility data 2019-2022 combined with the following code files:
	. master(1).do
	. clean_prep_adv.do
	. analysis_adv.do
	Data available from Dewey Data at https://www.deweydata.io/.
3.  American Community Survey 2011 to 2022 and include county level control variables: age1824, marry, edu_hs for the county and year.  The are the estimated percent of population aged 18-24, married, and have high school education or less.  The data can be accessed via: https://www.census.gov/programs-surveys/acs/data.html

4.  Behavioral Risk Factor Surveillance System (BRFSS) between 2011-2021 combined with the following code file:
	. munchies_BRFSS_JPAM_v2.do
	Available from CDC at https://www.cdc.gov/brfss/annual_data/annual_data.htm.
	
5.  American Time Use Survey (ATUS) between 2003-2022 combined with the following code file:
	. munchies_ATUS_JPAM_v2.doc
	Available from BLS at https://www.bls.gov/tus/data.htm

6.  Controls: Some do-file refer to the controls_cdcdatawonder.dta. The variables blackshare maleshare age1825share represent the share of the state-year that are black, male, or between ages 18-25. The raw data can be downloaded from. 

